Derrick Lawson’s Post

Exciting Developments in AI-Assisted Prostate Cancer Diagnosis 🩺🎗️ I'd like to share some groundbreaking research from Redbud College in the Netherlands. Their team has developed an AI model that outperforms human radiologists in diagnosing prostate cancer, the most common cancer affecting men worldwide. 🌍 Key Findings: ✅ The AI model was trained on over 10,000 prostate X-ray assessments and tested on an additional 1,000 patients. ✅ Compared to 60 radiologists from 20 countries with 5-10 years of experience, the AI model produced 50% fewer "false positive" results. ✅ This innovation could significantly reduce unnecessary medical procedures and improve the accuracy of prostate cancer diagnosis. Implications for the Industry: 1️⃣ AI-assisted diagnosis has the potential to revolutionise cancer detection and treatment, leading to better patient outcomes. 💪 2️⃣ By reducing false positives, healthcare systems can optimise resources and focus on patients who require immediate attention. 💰 3️⃣ Collaboration between AI researchers and healthcare professionals will be crucial in developing and implementing these cutting-edge technologies. 🤝 This research aligns with the growing trend of AI integration in healthcare, from drug discovery to personalised medicine. As we continue to witness the transformative power of AI, it's essential for professionals across industries to stay informed and adapt to these changes. 🚀 I encourage you to read the full article here: https://buff.ly/3xhtHq4 Let's engage in a discussion about the future of AI in healthcare and its potential impact on our lives. What are your thoughts on this research? How do you see AI shaping your industry in the coming years? 💬 #AI #Healthcare #Innovation #ProstateCancer #Diagnosis

Introducing a pioneering AI Diagnosis-Based Gastric Cancer Prevention Management & Care Software that is set to revolutionise the healthcare landscape! Developed in South Korea, this cutting-edge solution harnesses real-time AI diagnostics to enhance patient outcomes for those at high risk of gastric cancer. With the 5-year survival rate alarmingly low at just 20-30% for this prevalent cancer, early intervention is critical—and this innovative solution is leading the charge. This software integrates advanced AI algorithms and a user-friendly interface, enabling comprehensive diagnostics from pre-cancerous stages to cancer. 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: 𝗦𝘂𝗽𝗲𝗿𝗶𝗼𝗿 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻: Real-time multi-condition diagnosis with accuracy matching experienced physicians. 𝗣𝗮𝘁𝗶𝗲𝗻𝘁-𝗖𝗲𝗻𝘁𝗿𝗶𝗰 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Intuitive interface designed to bridge the information gap between doctors and patients with clear, actionable insights. 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Supports diverse data sources for personalised care and management plans. 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Reduces medical costs and environmental impact through optimised procedures. This innovative software is currently undergoing clinical trials in major hospitals across Korea and boasts several secured patents. Meet Prevenotics Inc. at TechInnovation 2024 to explore how this groundbreaking technology can redefine gastric cancer prevention and management! #TechInnovation2024 #HealthcareInnovation #AIDiagnostics #GastricCancer

Exciting Developments in AI-Assisted Prostate Cancer Diagnosis 🩺🎗️ I'd like to share some groundbreaking research from Redbud College in the Netherlands. Their team has developed an AI model that outperforms human radiologists in diagnosing prostate cancer, the most common cancer affecting men worldwide. 🌍 Key Findings: ✅ The AI model was trained on over 10,000 prostate X-ray assessments and tested on an additional 1,000 patients. ✅ Compared to 60 radiologists from 20 countries with 5-10 years of experience, the AI model produced 50% fewer "false positive" results. ✅ This innovation could significantly reduce unnecessary medical procedures and improve the accuracy of prostate cancer diagnosis. Implications for the Industry: 1️⃣ AI-assisted diagnosis has the potential to revolutionise cancer detection and treatment, leading to better patient outcomes. 💪 2️⃣ By reducing false positives, healthcare systems can optimise resources and focus on patients who require immediate attention. 💰 3️⃣ Collaboration between AI researchers and healthcare professionals will be crucial in developing and implementing these cutting-edge technologies. 🤝 This research aligns with the growing trend of AI integration in healthcare, from drug discovery to personalised medicine. As we continue to witness the transformative power of AI, it's essential for professionals across industries to stay informed and adapt to these changes. 🚀 I encourage you to read the full article here: https://buff.ly/3xhtHq4 Let's engage in a discussion about the future of AI in healthcare and its potential impact on our lives. What are your thoughts on this research? How do you see AI shaping your industry in the coming years? 💬 #AI #Healthcare #Innovation #ProstateCancer #Diagnosis

🚀 Lung Cancer Disease Prediction Project: Leveraging AI for Early Detection🚀 I'm excited to share my recent work on lung cancer disease prediction, where I trained a dataset on the MobileNet. The results have been impressive, demonstrating the power of AI in healthcare diagnostics. Key Achievements: High Accuracy: Achieved a remarkable accuracy of 94% across different categories. Precision and Recall: Consistently high precision and recall rates for various cancer types, including Colon Adenocarcinoma, Lung Adenocarcinoma, and Lung Squamous Cell Carcinoma. F1-Score: High F1-scores, indicating balanced performance across different metrics. Robust Support: Validated with a robust dataset of 2500 samples, ensuring reliability and consistency. Model Performance: Colon Adenocarcinoma: Precision 93%, Recall 96% Colon Benign Tissue: Precision 98%, Recall 94% Lung Adenocarcinoma: Precision 92%, Recall 90% Lung Benign Tissue: Precision 100%, Recall 100% Lung Squamous Cell Carcinoma: Precision 90%, Recall 92% Why this matters: Early detection of lung cancer can significantly improve patient outcomes and survival rates. By leveraging advanced AI models like MobileNet, we can enhance the accuracy and efficiency of diagnostic processes, paving the way for better healthcare solutions. I'm passionate about the intersection of AI and healthcare and am eager to connect with professionals and organizations interested in exploring innovative solutions in this field. Let's collaborate to drive the future of medical diagnostics and improve lives! Feel free to reach out if you'd like to know more about this project or discuss potential collaborations. #MachineLearning #HealthcareAI #LungCancer #AI #DeepLearning #DataScience #MedicalDiagnostics

🦠💉🔬🧬From Blood Sample to Diagnosis: How AI is Transforming Cancer Detection🧬🔬💉🦠 🔬China's new blood test for early gastric cancer detection is a significant breakthrough in medical technology. This test leverages AI algorithms to analyze cell-free DNA (cfDNA) in the bloodstream. cfDNA is released from both healthy and tumor cells, and its analysis can reveal the presence of cancer-specific methylation biomarkers. The test has achieved an impressive 90% accuracy in detecting early-stage gastric cancer. 🧬How It Works: 1. Sample Collection: A simple blood sample is taken from the patient. 2. cfDNA Extraction: The cfDNA is extracted from the blood sample. 3. AI Analysis: Advanced AI algorithms analyze the cfDNA for specific methylation patterns associated with gastric cancer. 4. Detection: The presence of these patterns indicates the likelihood of early-stage gastric cancer. 🧬Benefits: - Non-Invasive: Unlike traditional methods like endoscopies, this blood test is non-invasive and pain-free. - High Accuracy: With 99% accuracy, it significantly improves early detection rates compared to current methods. - Early Detection: Early identification can lead to better treatment outcomes and higher survival rates, potentially exceeding 90%. 🔬Future Advancements: This technology holds promise for further advancements in cancer detection: - Broader Application: Similar AI-powered blood tests could be developed for other types of cancer, such as colorectal, lung, and breast cancer. - Improved Biomarkers: Research could identify additional biomarkers, enhancing the accuracy and reliability of these tests. - Personalized Medicine: Combining cfDNA analysis with other genetic and molecular data could lead to more personalized and effective treatment plans. - Real-Time Monitoring: Continuous monitoring of cfDNA levels could help in tracking cancer progression and treatment response in real-time. This innovative approach not only revolutionizes gastric cancer screening but also opens the door to more comprehensive and less invasive cancer detection methods in the future. 🦠🔬🧬💉🙂 #CancerDetection #MedicalBreakthrough #EarlyDetection #GastricCancer #AIinHealthcare #InnovativeMedicine #HealthTech #NonInvasiveTesting #FutureOfMedicine #LifeSavingTech #BreastCancer #LungCancer #ColorectalCancer #cfDNA #DeoxyriboNucleicAcid

Lung Cancer Screening Software Market Size, Share & Trends Analysis Report by Cancer Type (Non-small Cell Lung Cancer (NSCLC), and Small Cell Lung Cancer) by Diagnosis Type (Dose Spiral, CT Scan, and Chest X-ray) and by End-User (Hospitals & Clinics, and Diagnostic Centres) Forecast Period (2024-2031) Get Sample of Report at:https://lnkd.in/dqSa3gy3 Lung cancer screening software market is anticipated to grow at a significant CAGR of 19.5% during the forecast period (2024-2031). Lung cancer is a leading cause of cancer-related deaths globally, driving the demand for advanced screening tools. Advancements in imaging technology, such as CT scanners, enable more accurate visualization of lung anatomy. Early detection is crucial for better treatment outcomes and increased survival rates. AI integration in screening software enhances image analysis, pattern recognition, and risk prediction. Personalized medicine approaches emphasize risk stratification based on patient-specific factors. Key Players:Canon Medical Systems Corporation, CureMetrix, GE HealthCare, iCAD, Intelerad, Medtronic, MeVis Medical Solutions AG, Mirada Medical, MRS Systems, Nuance Communications, Riverain Technologies, Subtle Medical, Thirona, Volpara Health, among others. #LungCancerScreening #HealthTech #MedicalSoftware #LungHealth #CancerDetection #AIInHealthcare #ScreeningTechnology #MedicalInnovation #HealthcareSolutions #LungCancerPrevention

MIT researchers have developed an AI model capable of detecting breast cancer up to 5 years before clinical diagnosis, potentially revolutionizing early intervention and saving countless lives. Here's a breakdown of this groundbreaking technology: ✔The AI analyzed chromatin images from 560 tissue samples across 122 patients, identifying 8 distinct cell states throughout various stages of ductal carcinoma in situ (DCIS) ✔ The model considers both cellular composition and spatial arrangement, revealing that tissue organization is crucial in predicting disease progression. ✔Utilizing a convolutional variational autoencoder, the AI learns from simple chromatin staining images a more cost-effective and accessible method compared to complex sequencing techniques. ✔Remarkably the model detected cell states associated with invasive cancer even in tissue that appeared normal to the human eye. With current 5-year survival rates for breast cancer at approximately 90% when detected early this 5-year head start on diagnosis and treatment could significantly improve patient outcomes. However, this breakthrough is just the tip of the iceberg The potential impact of AI on healthcare in the coming decade is likely to surpass most expectations. From early disease detection to personalized treatment plans and drug discovery, Al is poised to transform medical practice and patient care in ways we're only beginning to imagine As we continue to harness the power of AI in medicine, we're not just improving healthcare we're redefining what's possible in our fight against diseases like cancer. Source https://lnkd.in/exF5YmV

#digitalclinics Dr.Raj Subramanian, PhD, PMP Dr. Devikarubi Rajasekaran (Devika) Digital Clinics Research and Services Pvt Ltd In CancerCare, early clinical intervention can be the difference between life and death. Treatement decision-making in Breast Cancer (BC) is complex, involving the assessment of a myriad of factors, especially, Pathological Analysis/Grading, which is Gold Standard for Breast Cancer Diagnosis. #digitalclinics, provides totally automated CAP, RSNA imaging diagnostic workflows using AI driven imaging markers detection pipelines for Nottingham Cancer Grading, BI-RADS Screening Scores and BC Sub-typing. Our Streamlined diagnostic processes empower clinical care teams to make informed decisions, with greater insights on disease pathogenisis process through AI algorithms, which are assisting pathologists whether discernible to the human eye or not, enables a more accurate and expedited diagnosis. #digitalclinics' Value Proposition To EndCusotmers - Patients: Facilitating Faster, Crucial, Precise Treatment pathways to enhance the chances of survival To Enterprises - Hospitals, Diag Centers:  •Clinician designed, validated system for Clinicians, enabling them to focus much higher clinical tasks  •Reduce lab Cost & Time, Improving Pathologists/Radiologists Efficiency & Productivity •Multi-millions Long Term Revenue Potential (Enterprise-to-Enterprise) – “1. Cancer Hospitals, Cancer Diagnostics Centre Lab Automation,  2. Value Add Diag Services combined, Med Device OEM’s Device+Diag SW” #digitalpathology #breastcancer #cancergrading

🗞 BREAKING NEWS in lung cancer detection innovation 🚀 The Massachusetts Institute of Technology just announced a groundbreaking development: 👃 Inhalable sensors for lung cancer detection. You heard that right. Imagine a world where diagnosing lung cancer is as simple as taking a deep breath! 🏥 The Story 🏥 Researchers have developed sensors that patients can inhale. These sensors enter the lungs and react to proteins that signal the presence of a tumor. Results are collected through a urine test - no invasive procedure or radiation required. 🔬 The Impact 🔬 Early detection is key in lung cancer treatment. These sensors offer a future where lung health checks could become as routine and simple as a blood pressure test, making screening more accessible, especially in areas without advanced medical equipment. 🤝 Our Commitment 🤝 At Body Vision Medical, we stand with innovators worldwide in the fight against lung cancer. Our team is excited about the potential of these inhalable sensors to further revolutionize lung cancer screening and complement existing technologies. 📣 Your Thoughts 📣 We Want to Hear from You! How do you envision these inhalable sensors changing the landscape of lung health? Could this be the future of routine health checks? Share your thoughts below! And check out our page and hit "Follow" to stay ahead of the curve ⤴ #medtech #medicalinnovation #pulmonology #lungcancer News Story Credit // Anne Trafton, MIT News (Link In Comments)

MIT researchers have developed an AI model capable of detecting breast cancer up to 5 years before clinical diagnosis, potentially revolutionizing early intervention and saving countless lives. Here's a breakdown of this groundbreaking technology: ✔The AI analyzed chromatin images from 560 tissue samples across 122 patients, identifying 8 distinct cell states throughout various stages of ductal carcinoma in situ (DCIS). ✔The model considers both cellular composition and spatial arrangement, revealing that tissue organization is crucial in predicting disease progression. ✔Utilizing a convolutional variational autoencoder, the AI learns from simple chromatin staining images - a more cost-effective and accessible method compared to complex sequencing techniques. ✔Remarkably, the model detected cell states associated with invasive cancer even in tissue that appeared normal to the human eye. With current 5-year survival rates for breast cancer at approximately 90% when detected early, this 5-year head start on diagnosis and treatment could significantly improve patient outcomes. However, this breakthrough is just the tip of the iceberg. The potential impact of AI on healthcare in the coming decade is likely to surpass most expectations. From early disease detection to personalized treatment plans and drug discovery, AI is poised to transform medical practice and patient care in ways we're only beginning to imagine. As we continue to harness the power of AI in medicine, we're not just improving healthcare - we're redefining what's possible in our fight against diseases like cancer.